Predictive analytics in healthcare. Volume 1, Transforming the future of medicine /

Predictive analytics in healthcare. Volume 1, Transforming the future of medicine /

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Bibliographic Details
Imprint:Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2021]
Description:1 online resource (various pagings) : illustrations (some color).
Language:English
Series:IOP ebooks. [2021 collection]
IPEM-IOP series in physics and engineering in medicine and biology
IPEM-IOP series in physics and engineering in medicine and biology.
IOP ebooks. 2021 collection.
Subject:
Medical informatics.
Medicine -- Data processing.
Predictive analytics.
Medical Informatics.
Data Science.
Forecasting.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12798383
Hidden Bibliographic Details
Varying Form of Title:Transforming the future of medicine.
Other authors / contributors:Subbhuraam, Vinithasree, editor.
Institute of Physics (Great Britain), publisher.
ISBN:9780750323123
9780750323116
9780750323109
9780750323130
Notes:"Version: 202112"--Title page verso.
Includes bibliographical references.
Also available in print.
System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
Dr. Vinithasree Subbhuraam has over 15 years of experience in biomedical data science and has utilized predictive analytics for designing clinical decision support systems to detect diseases such as carotid atherosclerosis, fatty liver, diabetes, epilepsy, and cancers in the thyroid, breast, ovaries, and prostate. She has MS and PhD degrees in Biomedical Engineering from Nanyang Technological University, Singapore, and a Bachelor's degree in Electronics and Communication Engineering from PSG College of Technology, Coimbatore, India.
Title from PDF title page (viewed on January 18, 2022).
Summary:Healthcare delivery is progressing into a format wherein analysis of a combination of disease data and patient data using predictive analytics provides additional information for physicians and healthcare providers to make more accurate detection, diagnosis, and treatment decisions. This is a unique book offering a novel course on Predictive Analytics in Healthcare.
Target Audience:Medical Students, Physicians, Biomedical Engineers, Data Scientists, Hospital Administrators.
Other form:Print version: 9780750323109 9780750323130
Standard no.:10.1088/978-0-7503-2312-3
Table of Contents:
  • 1. Predictive analytics in healthcare / Vinithasree Subbhuraam
  • 2. Predictive analytics in public health surveillance / Vinithasree Subbhuraam and Islamiyyat Olatinwo
  • 3. FemTech solutions for advancing women's health / Vinithasree Subbhuraam
  • 4. Telemedicine / Vinithasree Subbhuraam and Debabrata Panigrahi
  • 5. Pervasive healthcare applications in neurology / Vinithasree Subbhuraam and Dyuti Kumar
  • 6. Extraction of fetal head section from ultrasound images using a soft-computing based image mining system--a study with Kapur's thresholding and segmentation / V. Rajinikanth and Seifedine Kadry
  • 7. Classification of retinal fundus images into healthy/AMD classes using mayfly algorithm selected features / David Taniar, Seifedine Kadry and Venkatesan Rajinikanth.

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